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document
Papaioannou, I. (author), Straub, D. (author)
In many geotechnical projects, field data is used to determine the soil parameters. In most instances, however, the statistical analysis is performed ad hoc and the spatial distribution of this data is not (expclitly) accounted for. A more formal statistical approach allows to make better use of the data and combine it in a consistent manner...
conference paper 2015
document
Li, L. (author), Chu, X. (author)
The need for system failure probability, pf , of soil slope stability that takes into account the spatial variation of soil properties has been acknowledged by the geotechnical profession. The spatial variations of cohesion and friction angle for a c-ϕ soil slope were modeled by one dimensional vertical random field respectively. The cross...
conference paper 2015
document
Griffiths, D.V. (author), Huang, J. (author), Fenton, G.A. (author)
Using recently obtained deterministic results as a benchmark, probabilistic slope stability analyses have been performed on an undrained slope using the random finite element method (RFEM). Non-stationary random fields have been generated with linearly increasing mean undrained strength and a constant coefficient of variation. The influence of...
conference paper 2015